Triple
T30818156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | السنة النبوية |
E784841
|
entity |
| Predicate | تنقل عبر |
P54144
|
FINISHED |
| Object | الصحابة |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: الصحابة | Statement: [السنة النبوية, تنقل عبر, الصحابة]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تنقل عبر Context triple: [السنة النبوية, تنقل عبر, الصحابة]
-
A.
transportedBetween
Indicates that an entity is moved or conveyed from one specified location or state to another.
-
B.
travelsThrough
chosen
Indicates that something moves along, passes across, or is routed via a particular path, medium, or location.
-
C.
followsTransportCorridorAcross
Indicates that one entity’s path or alignment runs along and crosses a defined transport corridor (such as a road, railway, or canal) over some distance.
-
D.
transportFrom
Indicates that something or someone is moved or carried away starting from a specified origin location.
-
E.
transports
Indicates that one entity carries or conveys another entity from one place to another.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f224b4eda48190bd212ce4f3901e56 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6906ad50481909a700664e0b70fb0 |
completed | May 3, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69f68b7d2794819092fef8a63f4f3de8 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:44 p.m.